Research Engineer in NLP for Language Learning (Fixed Term)
We invite applications for a Research Engineer to join the project Conversational AI for Language Learning. This interdisciplinary project explores how cutting‑edge Natural Language Processing (NLP) can be harnessed to develop applications that support language learning, particularly in communities and regions where such technologies are scarce or unavailable. The ultimate goal is to lay the foundations for globally inclusive language technologies and design transformative approaches to support language learning and preservation worldwide.
In this role you will work within an interdisciplinary project team and collaborate closely with external and community partners. You will be based at the Centre for Human‑Inspired AI (CHIA) and the Language Technology Lab (LTL), part of a vibrant and highly research‑active environment in NLP and AI at the University of Cambridge.
Responsibilities
* Collaborating with local partners to co‑design and evaluate the application;
* Gathering and curating multilingual data and resources for conversational NLP;
* Developing and adapting language technologies for under‑resourced languages;
* Contributing to publications and dissemination of research findings.
Required Documents
* Curriculum Vitae (CV)
* A research publication list
* A covering letter outlining how you match the criteria for the post and why you are applying for this role
References will be required in advance of interviews for longlisted candidates. Please inform your referees that reference letters may be requested shortly after the closing date. For this, please ensure that you tick the relevant consent box as part of the application form.
The funds for this post are available for 12 months in the first instance.
Contact: Professor Anna Korhonen – research@cam.ac.uk (technical queries). Recruitment HR – sahhr@admin.cam.ac.uk. Application closing date: midnight (BST) on Sunday 26 October 2025. Interviews are planned to take place late October/early November, subject to change.
Please quote reference GO47555 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Apply online.
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